Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Umeå University
- Uppsala universitet
- Swedish University of Agricultural Sciences
- Linköping University
- Sveriges Lantbruksuniversitet
- Chalmers University of Technology
- Chalmers tekniska högskola
- KTH Royal Institute of Technology
- Karolinska Institutet, doctoral positions
- Lunds universitet
- Nature Careers
- SciLifeLab
- The University of Gothenburg
- Institutionen för biomedicinsk vetenskap
- LInköpings universitet
- Linneuniversitetet
- Lulea University of Technology
- Luleå University of Technology
- Luleå University of Tehnology
- Luleå tekniska universitet
- Mälardalen University
- Stockholms universitet
- Swedish University of Agricultural Science
- Swedish University of Agricultural Sciences (SLU)
- Umeå universitet
- 15 more »
- « less
-
Field
-
on fundamental mathematical and computational tools in numerical analysis, computational fluid dynamics, and uncertainty quantification with diverse applications. Learn more: Department of Mathematics and Work
-
Group, https://www.chalmers.se/en/departments/e2/research/communications-antennas-and-optical-networks/communication-systems/ , employing around 45 people, including 8 faculty and 25 PhD students. During
-
, computational fluid dynamics, and uncertainty quantification with diverse applications. Learn more: Department of Mathematics and Work at the Department of Mathematics . Furthermore, our group maintains active
-
Southern Swedish Forest Research Centre A PhD position is available at SLU’s Southern Swedish Forest Research Centre in Alnarp. We are a dynamic, international and growing department with scientists
-
is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
-
weather forecasting to cardiovascular medicine. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning
-
more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Development of statistical methods for estimating plant population size and change Mathematical
-
. Computational tools for simulating such processes - both traditional based e.g. on computational fluid dynamics and more recent based on AI/machine learning - constitute fundamental scientific domains that act as
-
molecular dynamics; and enhanced-sampling free-energy methods (e.g., metadynamics and thermodynamic integration) to quantify adsorption and interfacial reaction processes. The research also includes method
-
barrier in the planned KBS-3 concept for final disposal of spent nuclear fuel. The PhD student will develop, apply, and combine theoretical molecular dynamics (MD) simulations with experimental techniques